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Title:
ADVERSARIAL CROSS-MEDIA RETRIEVING METHOD BASED ON RESTRICTED TEXT SPACE
Document Type and Number:
WIPO Patent Application WO/2019/148898
Kind Code:
A1
Abstract:
An adversarial cross-media retrieving method based on restricted text space, comprises: designing a feature extraction network, a feature mapping network and a modal classifier, obtaining a restricted text space by means of learning, extracting image and text features applicable to cross-media retrieval, and implementing the mapping of the image features from an image space to a text space; the diversity of feature distribution between data of different modals is continuously reduced during learning by means of an adversarial training mechanism, thereby achieving cross-media retrieval. The described method is capable of better fitting the behavior performance of humans during a cross-media retrieval task, obtaining image and text features that are more applicable to the cross-media retrieval task, and compensating for the deficiency in expressiveness of pre-training features; and the introduction of an adversarial learning mechanism further improves the accuracy of retrieval by means of the maximum and minimum games between a modal classifier and a feature mapping network.

Inventors:
WANG WENMIN (CN)
YU ZHENG (CN)
WANG RONGGANG (CN)
LI GE (CN)
WANG ZHENYU (CN)
ZHAO HUI (CN)
GAO WEN (CN)
Application Number:
PCT/CN2018/111327
Publication Date:
August 08, 2019
Filing Date:
October 23, 2018
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Assignee:
UNIV PEKING SHENZHEN GRADUATE SCHOOL (CN)
International Classes:
G06F17/30
Foreign References:
CN108319686A2018-07-24
CN106202413A2016-12-07
CN106095893A2016-11-09
CN104346440A2015-02-11
Attorney, Agent or Firm:
BEIJING WANXIANGXINYUE INTELLECTUAL PROPERTY OFFICE (CN)
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